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Record W3183740552 · doi:10.3138/ctr.187.025

On Mobilizing an Artist Brigade to Stay with the Trouble

2021· article· en· W3183740552 on OpenAlexvenueaboutno aff
Kimberly Skye Richards

Bibliographic record

VenueCanadian Theatre Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsnot available
Fundersnot available
KeywordsThe artsAllianceVisual artsHistorySociologyArt historyMedia studiesArtArchaeology

Abstract

fetched live from OpenAlex

The Artist Brigade is an exciting artist-activist project to “stay with the trouble” of global warming and changing climates. Since August 2020, four ‘lilypad’ gatherings co-convened by Kendra Fanconi (The Only Animal), the BC Alliance for Arts + Culture, Sherry Yano (the David Suzuki Foundation), Marie Lopes (Vancouver Park Board), Sue Biely (Story Money Impact), and Lolehawk (Stό:lō Nation) have brought together artists with other stakeholders on the land to discover how we can collaboratively respond to the needs for climate action around the Vedder River, Dakota Valley, Heather Lands, and Howe Sound. Drawing on Potawatomi scholar Kyle Powys Whyte’s distinction between an “epistemology of crisis” and an “epistemology of coordination,” Kimberly Skye Richards discusses the strategies deployed by the Artist Brigade for responding responsibly to our situation of living amid the earth’s sixth great extinction event.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.885
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.321
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2021
Admission routes2
Has abstractyes

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